-
Encoding Invariances in Deep Generative Models
Reliable training of generative adversarial networks (GANs) typically re...
06/04/2019 ∙ by Viraj Shah, et al. ∙
5
∙
share
read it
-
Alternating Phase Projected Gradient Descent with Generative Priors for Solving Compressive Phase Retrieval
The classical problem of phase retrieval arises in various signal acquis...
03/07/2019 ∙ by Rakib Hyder, et al. ∙
0
∙
share
read it
-
Signal Reconstruction from Modulo Observations
We consider the problem of reconstructing a signal from under-determined...
12/03/2018 ∙ by Viraj Shah, et al. ∙
0
∙
share
read it
-
Physics-aware Deep Generative Models for Creating Synthetic Microstructures
A key problem in computational material science deals with understanding...
11/21/2018 ∙ by Rahul Singh, et al. ∙
0
∙
share
read it
-
Solving Linear Inverse Problems Using GAN Priors: An Algorithm with Provable Guarantees
In recent works, both sparsity-based methods as well as learning-based m...
02/23/2018 ∙ by Viraj Shah, et al. ∙
0
∙
share
read it
-
Reconstruction from Periodic Nonlinearities, With Applications to HDR Imaging
We consider the problem of reconstructing signals and images from period...
09/29/2017 ∙ by Viraj Shah, et al. ∙
0
∙
share
read it
